{"action":"created","issue":{"url":"https://api.github.com/repos/jiangwen365/pypyodbc/issues/56","repository_url":"https://api.github.com/repos/jiangwen365/pypyodbc","labels_url":"https://api.github.com/repos/jiangwen365/pypyodbc/issues/56/labels{/name}","comments_url":"https://api.github.com/repos/jiangwen365/pypyodbc/issues/56/comments","events_url":"https://api.github.com/repos/jiangwen365/pypyodbc/issues/56/events","html_url":"https://github.com/jiangwen365/pypyodbc/issues/56","id":225272443,"number":56,"title":"Performance issue","user":{"login":"dhanababum","id":5729855,"avatar_url":"https://avatars1.githubusercontent.com/u/5729855?v=4","gravatar_id":"","url":"https://api.github.com/users/dhanababum","html_url":"https://github.com/dhanababum","followers_url":"https://api.github.com/users/dhanababum/followers","following_url":"https://api.github.com/users/dhanababum/following{/other_user}","gists_url":"https://api.github.com/users/dhanababum/gists{/gist_id}","starred_url":"https://api.github.com/users/dhanababum/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dhanababum/subscriptions","organizations_url":"https://api.github.com/users/dhanababum/orgs","repos_url":"https://api.github.com/users/dhanababum/repos","events_url":"https://api.github.com/users/dhanababum/events{/privacy}","received_events_url":"https://api.github.com/users/dhanababum/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2017-04-29T17:31:16Z","updated_at":"2017-09-15T18:48:33Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\n     I am very glad for pypyodbc and using pypyodbc for my day to day work. I work with 5-10GB data, will apply computations and then insert in MS Access using pypyodbc.\r\n\r\nObserved some performance variations following code,\r\n\r\n```\r\ncur.execute(\"Insert\")\r\ncon.commit()\r\n```\r\nInserting row by row using above code and it is very slow. Then I came up with\r\n\r\n```\r\ncur.executemany(\"Bulk insert\")\r\ncon.commit()\r\n```\r\n\r\nBut it is little fast compared with row by row insertion, But I need extra performance :). Could you give me any suggestions for me\r\n"},"comment":{"url":"https://api.github.com/repos/jiangwen365/pypyodbc/issues/comments/329868703","html_url":"https://github.com/jiangwen365/pypyodbc/issues/56#issuecomment-329868703","issue_url":"https://api.github.com/repos/jiangwen365/pypyodbc/issues/56","id":329868703,"user":{"login":"dhanababum","id":5729855,"avatar_url":"https://avatars1.githubusercontent.com/u/5729855?v=4","gravatar_id":"","url":"https://api.github.com/users/dhanababum","html_url":"https://github.com/dhanababum","followers_url":"https://api.github.com/users/dhanababum/followers","following_url":"https://api.github.com/users/dhanababum/following{/other_user}","gists_url":"https://api.github.com/users/dhanababum/gists{/gist_id}","starred_url":"https://api.github.com/users/dhanababum/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dhanababum/subscriptions","organizations_url":"https://api.github.com/users/dhanababum/orgs","repos_url":"https://api.github.com/users/dhanababum/repos","events_url":"https://api.github.com/users/dhanababum/events{/privacy}","received_events_url":"https://api.github.com/users/dhanababum/received_events","type":"User","site_admin":false},"created_at":"2017-09-15T18:48:33Z","updated_at":"2017-09-15T18:48:33Z","author_association":"NONE","body":"@gordthompson Sorry for late reply. Yes I found."}}
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